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Cross-lingual Inflection as a Data Augmentation Method for Parsing

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3A4RUXEQQF" target="_blank" >RIV/00216208:11320/22:4RUXEQQF - isvavai.cz</a>

  • Result on the web

    <a href="https://aclanthology.org/2022.insights-1.7" target="_blank" >https://aclanthology.org/2022.insights-1.7</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.18653/v1/2022.insights-1.7" target="_blank" >10.18653/v1/2022.insights-1.7</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cross-lingual Inflection as a Data Augmentation Method for Parsing

  • Original language description

    We propose a morphology-based method for low-resource (LR) dependency parsing. We train a morphological inflector for target LR languages, and apply it to related rich-resource (RR) treebanks to create cross-lingual (x-inflected) treebanks that resemble the target LR language. We use such inflected treebanks to train parsers in zero- (training on x-inflected treebanks) and few-shot (training on x-inflected and target language treebanks) setups. The results show that the method sometimes improves the baselines, but not consistently.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the Third Workshop on Insights from Negative Results in NLP

  • ISBN

    978-1-955917-40-7

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

    54-61

  • Publisher name

    Association for Computational Linguistics

  • Place of publication

  • Event location

    Dublin, Ireland

  • Event date

    Jan 1, 2022

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article